The work presented in this MPhil thesis addresses this challenge by developing a new simplified FSSO system that allows end-users to access desktop systems, web-based services/applications and non-web based services/applications using one authentication process. This new system achieves this using two major components: an “Authentication Infrastructure Integration Program (AIIP)" and an “Integration of Desktop Authentication and Web-based Authentication (IDAWA)." The AIIP acquires Kerberos tickets (for end-users who have been authenticated by a Kerberos single sign-on system in one net- work domain) from Kerberos single sign-on systems in different network domains without establishing trust between these Kerberos single sign-on systems. The IDAWA is an extension to the web-based authentication systems (i.e. the web portal), and it authenticates end-users by verifying the end-users' Kerberos tickets. This research also developed new criteria to determine which FSSO sys...

Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to choose the most informative examples for manually labelling. One is an approach using an advanced aggregated confidence measurement instead of the direct output of classifiers to measure the confidence of the prediction and choose the examples with least confidence for querying. The other is a simple but effective exploration guided active learning selection strategy which uses only the notions of density and diversity, based on similarity, in its selection strategy. Second, we propose new methods ...

This paper provides an overview of historic and current organizational limitations emerging in the Architecture, Engineering, Construction, Building Owner / Operations (AECOO) Industry. It then provides an overview of new technologies that attempt to mitigate these limitations. However, these technologies, taken together, appear to be converging and creating entirely new organizational structures in the AEC industries. This may be characterized by the emergence of what is called the Network Effect and it’s related calculus. This paper culminates with an introduction to Blockchain Technology (BT) and it’s integration with the emergence of groundbreaking technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and Financial / Insurance products. To illustrate this process, we use choose Building Information Modelling (BIM) technology as our model network database for the AECOO industry. Interaction with the BIM database is an activity that gen...

<p>This article is available at http://www.informatics.org.cn. The work is partially supported by the Health Research Board of Ireland through the HRB Centre for Primary Care Research under Grant HRC/2007/1.</p><p>The authors present a novel approach to develop scalable systems and services for preserving digital content generated from various application domains. The aim is to deliver an integrative scalable approach for digital content preservation across domain verticals. This would involve consolidating approaches for modeling document workflow, preserving the integrity of heterogeneous data, and developing robust and scalable tools for digital preservation ensuring interoperability across domains verticals. The authors consider various application domains including: healthcare, public, business and finance, media and performing art, and education. The authors focus on specific case studies of digital content preservation across the considered domain vert...

In "Smart" environments development, providing users with search utilities for interacting efficiently with web and wireless devices is a key goal. At smaller scales, Google Maps and Google Earth with satellite and street views have helped users for querying general information at specific locations. However, at larger local scales, where detailed 3D geometries linked to business data are needed, there is a recognized lack of related information and functionality for in depth exploration of an area. Linking spatial data and business data helps to enrich the user experience by fulfilling more task specific user needs. This paper presents an eCampus Demonstrator for the National University of Ireland, Maynooth (NUIM) based on a Resource Oriented Architecture (ROA), in which various RESTful web-services have been developed and deployed for querying both spatial data and associated business data. The benefits and drawbacks of the chosen technologies are also discussed. This wo...

In this paper, we examine the design and application of a one-time pad encryption system for protecting data stored in the Cloud. Personalising security using a one-time pad generator at the client-end protects data from break-ins, side-channel attacks and backdoors in public encryption algorithms. The one-time pad binary sequences were obtained from modified analogue chaos oscillators initiated by noise and encoded client data locally. Specific ``one-to-Cloud'' storage applications returned control back to the end user but without the key distribution problem normally associated with one-time pad encryption. Development of the prototype was aided by ``Virtual Prototyping'' in the latest version of Cadence OrCAD PSpice$^\copyright$. This addition allows the prototype simulation schematic to be connected to an actual microcontroller in real time using device model interfacing for bi-directional communication.

The concept of data being "Born Semantic" has been proposed in recent years as a Semantic Web analogue to the idea of data being "born digital"[1], [2]. Within the "Born Semantic" concept, data are captured digitally and at a point close to the time of creation are annotated with markup terms from semantic web resources (controlled vocabularies, thesauri or ontologies). This allows heterogeneous data to be more easily ingested and amalgamated in near real-time due to the standards compliant annotation of the data. In taking the "Born Semantic" proposal from concept to operation, a number of difficulties have been encountered. For example, although there are recognised methods such as Header, Dictionary, Triples [3] for the compression, publication and dissemination of large volumes of triples these systems are not practical to deploy in the field on low-powered (both electrically and computationally) devices. Similarly, it is not practical for...